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	Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218 作者: Zeyi Zhang; Hao Jiang; Dong Shen; Samer S. Saab \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2024/01/02 Data-driven algorithms incomplete information iterative learning control gradient information unachievable problems
	Performance Assessment of Four Data-Driven Machine Learning Models: A Case to Generate Sentinel-2 Albedo at 10 Meters 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 10 作者: Chen, Hao; Lin, Xingwen; Sun, Yibo; Wen, Jianguang; Wu, Xiaodan \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2023/07/03 Sentinel-2 albedo data-driven machine learning algorithms remote sensing
	Downscaling Satellite Retrieved Soil Moisture Using Regression Tree-Based Machine Learning Algorithms Over Southwest France 期刊论文 OAI收割 EARTH AND SPACE SCIENCE, 2020, 卷号: 7, 期号: 10, 页码: 25 作者: Liu, Yangxiaoyue; Xia, Xiaolin; Yao, Ling; Jing, Wenlong; Zhou, Chenghu \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/03/16 satellite based soil moisture downscale machine learning regression tree driven algorithms
	Downscaling Satellite Retrieved Soil Moisture Using Regression Tree-Based Machine Learning Algorithms Over Southwest France 期刊论文 OAI收割 EARTH AND SPACE SCIENCE, 2020, 卷号: 7, 期号: 10, 页码: 25 作者: Liu, Yangxiaoyue; Xia, Xiaolin; Yao, Ling; Jing, Wenlong; Zhou, Chenghu \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/03/16 satellite based soil moisture downscale machine learning regression tree driven algorithms
	Application research of intelligent algorithm in electric-driven flight simulation turntable (EI CONFERENCE) 会议论文 OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Xie M.-J.; Wang Z.-Q.; Wang L.-M. 收藏 \| 浏览/下载：40/0 \| 提交时间：2013/03/25 Application Research of Intelligent Algorithm in Electric-driven Flight Simulation Turntable is discussed in this paper. Fuzzy control is used to solve the problem of fast tracking and overshoot since its essence belongs to PD control In order to improve the performance of system in low speed a method named variance-gain adaptive algorithm is introduced in this paper. It defines the amplifier gain as a function whose independent variable is speed so the amplifier gain can automatically be adjusted with the change of speed. When the turntable runs at low speed it has a big amplifier gain a good rigidity and high tracking accuracy. When the turntable runs at high speed the method can control the amplifier gain and ensure the system dynamic performance. Design and implementation of these algorithms is introduced in detail. Experiment results show that the Flight Simulation Turntable has achieved the required performance through using fuzzy control algorithm and variance-gain adaptive algorithm. 2008 IEEE.